Exploring “Deep Roots”: Politics of Place and Groundwater Management Practices in the Pajaro Valley,California

Groundwater is one of the most critical natural resources in an era of climate change, yet groundwater depletion is extensive in many parts of the world. The Pajaro Valley, an agricultural region in Central California, exemplifies the common challenges to sustainably manage a groundwater basin. This article draws on materialist conceptions of power and political economy, and humanist conceptions of place identity and dependence, to illuminate how both can influence groundwater management practices. Through ethnographic observation and interviews with self-identified groundwater users, we find that social character, economic interactions, and dominant understandings of culture and community all work together to define personal and collective meanings of and attachments to place. We suggest that using a “politics of place” approach can provide a deeper understanding of why particular groundwater management practices occur, and that this can aid in shaping future sustainability efforts.     

Mission possible: diatoms can be used to infer past duckweed (lemnoid Araceae) dominance in ponds

Compared to larger lakes, ponds have rarely been the focus of palaeoecological studies. A common feature of ponds, especially those subject to eutrophication, is mass surface coverings of lemnoid Araceae (duckweed) which have severe implications for ecological processes in small waterbodies, in particular lowered oxygen content. To help understand the implications of duckweed dominance for the long-term ecology of ponds, and to determine the potential for palaeoecological studies in ponds more generally, we develop a new diatom-based Lemna-indicator metric. Recent studies of diatom host-plant relationships have shown significant associations between duckweed and the epiphytes Lemnicola hungarica and Sellaphora saugerresii (formally known as Sellaphora seminulum). To determine the potential of these species as palaeo-indicators of long-term duckweed dynamics in ponds, we investigated the diatom composition of surface sediment assemblages in sets of duckweed and non-duckweed-dominated ponds in Norfolk, eastern England. In addition, we undertook diatom analysis of two cores from a small farmland pond (Bodham Rail Pit) subject to a known duckweed dominance event (1999–2005). Both L. hungarica and S. saugerresii were significant predictors of past Lemna dominance in the surface sediments. Further, in the core study, both diatom species accurately and closely tracked the documented “on–off” duckweed cycle. Our study suggests huge potential for using ponds in palaeoecological studies and for diatom-based investigations of floating plant histories.     

Sedimentary macrofossil records reveal ecological change in English lakes: implications for conservation

Aquatic macrophytes play a key role in providing habitat, refuge and food for a range of biota in shallow lakes. However, many shallow lakes have experienced declines in macrophyte vegetation in recent decades, principally due to eutrophication. As changes in macrophyte composition and abundance can affect overall ecological structure and function of a lake, an assessment of the timing and nature of such changes is crucial to our understanding of the wider lake ecosystem. In the typical absence of historical plant records, the macro-remains of macrophytes preserved in lake sediments can be used to assess long-term changes in aquatic vegetation. We generated recent (150–200 years) plant macrofossil records for six English lakes subject to conservation protection to define past macrophyte communities, assess trajectories of ecological change and consider the implications of our findings for conservation targets and strategies. The data for all six lakes reveal a diverse submerged macrophyte community, with charophytes as a key component, in the early part of the sedimentary records. The stratigraphies indicate considerable change to the aquatic vegetation over the last two centuries with a general shift towards species more typically associated with eutrophic conditions. A common feature is the decline in abundance of low-growing charophytes and an increase in tall canopy-forming angiosperms such as fine-leaved Potamogeton species, Zannichellia palustris and Callitriche species. We hypothesise, based on findings from long-term datasets and palaeoecological records from enriched shallow lakes where plants are now absent, that the observed shifts provide a warning to managers that the lakes are on a pathway to complete macrophyte loss such that nutrient load reduction is urgently needed. It is the sound understanding of present-day plant ecology that affords such reliable interpretation of the fossil data which, in turn, provide valuable context for current conservation decisions.     

Do social meanings matter? How and how much social meanings influence everyday transport practices?

We live among a throng of social meanings. In a transport context, cars are described as symbols of status, bicycles as the toys of Middle Aged Men in Lycra, and buses as ‘loser cruisers’. This study asks ‘Do these social meanings matter?’ Do they influence people's transport practices, and if so, how and how much? The participants in this research reported that social meanings had widespread influences, particularly on their transport mode choices, vehicle choices, and travel performances. This research has implications for the ways that social meanings are incorporated into transport policy and future transport research.     

Extracting urban functional regions from points of interest and human activities on location‐based social networks

Data about points of interest (POI) have been widely used in studying urban land use types and for sensing human behavior. However, it is difficult to quantify the correct mix or the spatial relations among different POI types indicative of specific urban functions. In this research, we develop a statistical framework to help discover semantically meaningful topics and functional regions based on the co‐occurrence patterns of POI types. The framework applies the latent Dirichlet allocation (LDA) topic modeling technique and incorporates user check‐in activities on location‐based social networks. Using a large corpus of about 100,000 Foursquare venues and user check‐in behavior in the 10 most populated urban areas of the US, we demonstrate the effectiveness of our proposed methodology by identifying distinctive types of latent topics and, further, by extracting urban functional regions using K‐means clustering and Delaunay triangulation spatial constraints clustering. We show that a region can support multiple functions but with different probabilities, while the same type of functional region can span multiple geographically non‐adjacent locations. Since each region can be modeled as a vector consisting of multinomial topic distributions, similar regions with regard to their thematic topic signatures can be identified. Compared with remote sensing images which mainly uncover the physical landscape of urban environments, our popularity‐based POI topic modeling approach can be seen as a complementary social sensing view on urban space based on human activities.     

Micromorphological evidence for subglacial multiphase sedimentation and deformation during overpressurized fluid flow associated with hydrofracturing

Hydrofracture systems are being increasingly recognized within subglacial to ice‐marginal settings and represent a visible expression of the passage of pressurized meltwater through these glacial environments. Such structures provide a clear record of the fluctuating hydrostatic pressure and of the resulting brittle fracturing of the host sediment/bedrock and the pene‐contemporaneous liquefaction and introduction of sediment‐fill. A detailed macro‐ and microstructural study of a hydrofracture system cutting Devonian sandstone bedrock exposed at the Meads of St John, near Inverness (NE Scotland), has revealed that this complex multiphase system was active over a prolonged period and accommodated several phases of fluid flow. The main conduits that fed the hydrofracture system are located along bedding within the sandstone, with the site of the wider, steeply inclined to subvertical, transgressive linking sections being controlled by the contemporaneous development of high‐angle fractures and normal faults, the latter occurring in response to localized extension within the bedrock. A comparison with published engineering hydraulic fracturing data indicates that the various stages of sediment‐fill deposited during a flow event can be directly related to the fluctuation in overpressure during hydrofracturing. A model is proposed linking the evolution of this hydrofracture system to the retreat of the overlying Findhorn glacier. The results of this study also indicate that the development and repeated reactivation of subglacial hydrofracture systems can have a dramatic effect on the permeability of the bed, influencing the potential for overpressure build‐up within the subglacial hydrogeological system, and facilitating the migration of meltwater beneath glaciers and ice sheets.     

Electronic Theses and Dissertations (ETDs), GIS,and Remote Sensing: The West Virginia University Example

Abstract

Remote sensing and geographic information system (GIS) scientists and educators in general are utilizing global web sources for information of the latest developments in the use of satellite and GIS approaches, as well as to understand more fully environmental and natural resources processes in various geographic settings. West Virginia University (WVU) has embarked on a pioneering approach (as only the second university worldwide) to archive graduate theses and dissertations in electronic format with worldwide web access. This study illustrates the type of remote sensing and GIS research available through WVU's worldwide web ETD archive, and its potential uses by educators at a variety of levels of the education system for understanding remote sensing and GIS methodologies, as well as environmental and natural resource processes. Keywords: Geographic Information Systems (GIS), remote sensing, West Virginia University, Electronic Thesis and Dissertation (ETD).     

Skill Shortages,Demographic Aging,and Training Implications for Skill-Based Economies

This article draws on a study of the supply of technician training in engineering and science and technology sectors in Oxfordshire in southeast England. The study conducted between January and May 2004 set out to identify the challenges facing training providers and employers in the context of an increasing age profile of technicians, while the skills demanded of technicians are changing. Some forty interviews were conducted with local providers of training, employers, and industry organizations. The study shows that a key part of the Oxfordshire labor market is undergoing radical changes in structure and function. So far these changes have not been matched by a coherent training response.     

Forthcoming events

Abstract

This is the second of two papers which elaborates a framework for embedding urban models within GIS. In the first paper (Batty and Xie 1994), we outlined how the display functions of a proprietary GIS could be used to organize a series of external software modules which contained the central elements of the modelling process, namely dataset selection and analysis, and model specification, calibration, and prediction. In that paper, we dwelt on display and data analysis functions whereas here we outline the model-based functions of the system. We begin by reviewing residential location models based on population density theory, stating continuous and discrete model forms, and calibration methods. We then illustrate a pass through the software using data for the Buffalo urban region, showing how observed data and model estimates can be evaluated through graphic display. We present ways in which the system can be used to explore and fit a variety of models to different zoning systems and in so doing, show how subset selection and aggregation can be used to find models with good fit. Finally we draw conclusions and outline an agenda for further research.